Sr Software Developer

Morgan Stanley

Actively hiring
1633 Broadway- Ny, US Posted 119 days ago $150,000$210,000 / year

At a glance

AI generated

TL;DR

This Lead Software Engineering position at the Vice President level within the Machine Learning Research group involves collaborating closely with ML researchers and clients to develop, productionize, and deploy machine learning solutions across diverse technologies. Responsibilities include maintaining and supporting production systems, onboarding new systems for managing and reusing ML models, and ensuring adherence to security policies while integrating cutting-edge tooling and platforms. The role requires expertise in Python and Java/C/C++, container technologies like Docker and Kubernetes, cloud services such as AWS and Azure, and a deep understanding of core infrastructure components including databases and ETL pipelines. Ideal candidates will also have experience with distributed computing frameworks and financial sector knowledge, making them well-suited to tackle complex business problems efficiently.

Skills

Python Java C++ Docker Kubernetes AWS Terraform Linux SQL ETL CI/CD GitHub CUDA Spark Dask Ray MLOps TensorBoard MLflow JAX OpenXLA

What you'll do

  • Develop and deploy machine learning projects for clients in collaboration with ML researchers.
  • Integrate client systems with new developments to ensure seamless functionality.
  • Maintain and support production systems to ensure reliability and performance.
  • Create systems to manage and reuse ML models across the organization.
  • Compile and repackaging libraries used by researchers to enhance usability.
  • Identify and implement tooling solutions that adhere to security policies.
  • Build and maintain internal tooling to promote efficient machine learning development.

What we're looking for

  • Minimum 10 years of experience in software development and maintenance.
  • Expertise in Python and Java/C/C++ for development, packaging, and patching.
  • Proficiency in debugging, profiling, and performance engineering.
  • Experience with container technologies like Docker, Kubernetes, and cloud enablement tools.
  • Knowledge of core infrastructure including hardware, load balancers, and automation frameworks.
  • Ability to design ETL pipelines and work with various data tiers such as relational databases and object stores.
  • Self-motivated with strong documentation and diagramming skills for complex ideas.

Market check

Salary context

This $150,000–$210,000 range sits above 68% of similar postings on FindRole.

Peer median band

$123,100$198,650

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$139,000$182,525

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 35 open roles on FindRole.

Listed pay typically runs $139,500–$165,000 across 34 roles with salary data.

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View all roles at Morgan Stanley

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